PesTilEncE

PesTilEncE — CS2 Stats

DE76561198041834707[U:1:81568979]Steam profile ↗✓ No bans

3,746Tracked matches46%Win rate2020Tracked since
6,862Hours in CS15Hrs last 2 wks
CSDB Rating6.5 SolidSupport
Premier CS Rating23,083Top 25% of 212,695 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)
CSDB Leaderboard#42554 of 259431 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,083 +2,057 21 Jul – 1 Nov · 24 days played
20,43423,083peak 23,08321 Jul1 Nov
23,792Peak Premier in tracked matches
32Days played since 2026-07-21

Premier CS Rating

  • At peak — 23,083
  • +529 over 30 days · improving
  • +1,908 over 90 days
  • Next: Red band at 25,000 — 1,917 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate67.4%46.9%49.3%above
Shot accuracy13.0%13.0%13.4%0.3% short
Kill/death ratio1.731.081.12above
Match win rate70.6%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPesTilEncEPREMIER23,083 · Pink bandcsdb.gg/stats

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Performance scores

Aim79
Positioning55
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY43–51–6Last 10043%Win rateLLLWWWLWLT

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +7.2pp headshot accuracy · −82ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 592ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 587ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 628ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.7 against its own average).

Aim7.9
Utility7.5
Positioning5.5
Opening Duels1.4
Clutch1.0

Strong CT-side openerEffective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 51% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.9
Positioning5.5
Utility7.5
Mechanics7.7
Opening Duels2.7
Win Impact3.8

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time624ms−25ms
first ⅓ avg 649ms → last ⅓ avg 624ms
Headshot accuracy25.4%−0.9%
first ⅓ avg 26.3% → last ⅓ avg 25.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 5–9 · poseidon, 25 Aug →
80%Best headshot accuracy · 6–13 · office, 30 Oct →
453msFastest reaction time · 3–13 · shelter, 24 Aug →
13–1Biggest win · mirage, 6 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
9–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 80% over 10infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2214–864%-0.01
dust2C166–1038%-0.01
ancientB115–645%0.01
cacheC104–640%-0.01
anubisD103–730%-0.01
nukeS108–280%0.03
infernoD61–517%0.02
train—31–233%0.00
overpass—31–233%0.01
office—20–20%-0.01
rush_001—20–20%-0.14
italy—10–10%-0.04
vertigo—10–10%-0.02
poseidon—10–10%0.12
eldorado—10–10%-0.02
shelter—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

302,302Lifetime kills
1.73K/D · Top 5% of Pink band
13,216Matches
70.6%Match win rate · Top 5% of Pink band
67.4%Headshot % · Top 5% of Pink band
13.0%Shot accuracy · Top 50% of Pink band
19,961MVPs
5,323Hours (in match)
9,988Bombs planted
2,673Bombs defused

Most-used weapons

AK-47176,511
AWP14,912
FAMAS4,630
P2504,627
MP92,500

Lifetime map wins

17,598dust2
8,574nuke
6,610inferno
1,473train
1,252cbble
785vertigo
266office
206italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,380Matches
51%Win rate
1.01Avg K/D
71.9ADR
44%Headshot %

Clutches & streaks

25%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient4542%0.9515.7
Mirage4048%1.0715.9
Anubis3850%0.9414.6
Nuke2568%1.0914.8
Overpass2055%1.0414.3
Dust21250%0.7512.6
Inferno633%1.8418.0
Vertigo250%0.6214.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.4%Headshot accuracy
36.6%Accuracy (enemy spotted)
40.5%Spray accuracy
84.5%Counter-strafing
11.2°Preaim
623msReaction time
28.2%T opening success
51.3%CT opening success
0.71Enemies flashed / flash
16.6%Flash assists
8.34HE damage / grenade
15.32Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.2193% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0024%1 Nov →
ancient5–13-0.0411%1 Nov →
cache5–13-0.0415%1 Nov →
anubis13–70.0320%1 Nov →
nuke13–60.0722%1 Nov →
dust213–80.0615%1 Nov →
nuke6–13-0.0135%30 Oct →
mirage13–110.0325%30 Oct →
office6–13-0.0580%30 Oct →
office12–120.0447%28 Oct →
cache3–13-0.0911%25 Oct →
dust22–13-0.0319%24 Oct →
mirage11–13-0.0216%24 Oct →
dust211–13-0.0226%24 Oct →
nuke13–70.0223%24 Oct →
anubis13–10-0.0115%24 Oct →
cache16–14-0.0021%24 Oct →
dust211–13-0.0035%15 Oct →
inferno2–130.0437%15 Oct →
train12–12-0.0520%13 Oct →
rush_0017–8-0.0328%12 Oct →
train4–13-0.0429%8 Oct →
dust213–11-0.0529%3 Oct →
mirage13–6-0.0326%3 Oct →
mirage13–11-0.0222%3 Oct →
mirage13–6-0.0129%3 Oct →
inferno8–13-0.0314%3 Oct →
train13–80.0933%3 Oct →
italy3–13-0.0411%3 Oct →
dust214–160.0332%29 Sept →
mirage13–9-0.0215%29 Sept →
inferno10–130.0424%28 Sept →
anubis8–13-0.0327%28 Sept →
ancient15–15-0.0117%27 Sept →
nuke13–9-0.0426%27 Sept →
rush_0010–4-0.2425%25 Sept →
inferno4–13-0.0020%25 Sept →
inferno10–13-0.0516%25 Sept →
nuke13–10-0.0024%25 Sept →
mirage13–40.0116%25 Sept →
cache13–100.1125%24 Sept →
overpass13–100.0021%24 Sept →
vertigo2–13-0.0242%24 Sept →
mirage5–13-0.0726%8 Sept →
dust213–40.0112%7 Sept →
ancient7–13-0.0125%7 Sept →
cache6–13-0.0732%6 Sept →
nuke7–130.0338%6 Sept →
dust213–110.0325%6 Sept →
mirage8–13-0.0428%6 Sept →
anubis2–13-0.0439%6 Sept →
mirage13–10.1033%6 Sept →
dust213–70.0126%6 Sept →
anubis8–13-0.0210%31 Aug →
ancient13–60.0128%31 Aug →
anubis13–10.1022%31 Aug →
cache5–130.0130%31 Aug →
cache5–130.0225%31 Aug →
dust215–15-0.0526%30 Aug →
ancient13–70.0526%30 Aug →
dust213–7-0.0117%30 Aug →
anubis5–13-0.0423%30 Aug →
mirage13–10-0.0119%30 Aug →
ancient16–140.0320%30 Aug →
inferno9–40.1024%30 Aug →
cache13–100.0025%30 Aug →
poseidon5–90.1220%25 Aug →
eldorado3–9-0.0245%25 Aug →
dust26–130.0339%24 Aug →
overpass12–120.0119%24 Aug →
shelter3–13-0.046%24 Aug →
dust26–13-0.0324%23 Aug →
dust27–13-0.1020%23 Aug →
anubis4–13-0.065%23 Aug →
mirage8–13-0.0324%23 Aug →
nuke13–11-0.0222%23 Aug →
mirage9–13-0.0224%22 Aug →
mirage13–2-0.0316%22 Aug →
anubis8–13-0.0025%22 Aug →
dust210–130.0422%22 Aug →
mirage13–5-0.0025%22 Aug →
ancient11–130.0233%22 Aug →
mirage13–2-0.0124%22 Aug →
nuke9–20.1124%22 Aug →
mirage13–80.0252%21 Aug →
cache8–13-0.0322%21 Aug →
nuke13–100.0215%21 Aug →
mirage9–13-0.0750%21 Aug →
anubis6–13-0.0121%21 Aug →
ancient4–13-0.0738%21 Aug →
mirage13–100.0029%20 Aug →
ancient13–110.1128%18 Aug →
cache8–8-0.0129%18 Aug →
dust213–160.0032%17 Aug →
nuke13–40.0829%16 Aug →
overpass12–120.0328%30 Jul →
ancient8–130.0338%23 Jul →
mirage10–13-0.0223%23 Jul →
mirage13–30.0115%23 Jul →
ancient13–6-0.0323%21 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.